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Chunbo Zhang

Publications and source records attributed to Chunbo Zhang.

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Assessing provincial carbon budgets for residential buildings to advance net-zero ambitions

Assessing provincial carbon budgets for residential building operations is a crucial strategy for advancing China's net-zero ambitions. This study develops an advanced assessment framework that integrates static and dynamic modeling to evaluate emission pathways and carbon budgets for residential buildings at the provincial level. The framework provides a practical tool for generating robust carbon budget estimates with limited data, thereby enhancing its applicability for policy-oriented planning. Findings show that (1) in the business-as-usual scenario, the emissions for urban and rural residential buildings are projected to peak at 990 (+-0.7) and 450 (+-0.2) mega-tons of carbon dioxide (MtCO2), respectively, with peak years occurring in 2031 (+-4.7) and 2026 (+-2.6). (2) In the decarbonization scenario, peak emissions decrease to 900 MtCO2 and 430 MtCO2 for urban and rural buildings, respectively. (3) The provinces with the highest emission reduction requirements are Henan (16.74 MtCO2), Xinjiang (12.59 MtCO2), Gansu (9.87 MtCO2), Hebei (8.46 MtCO2), and Guangdong (3.37 MtCO2), with Northwest China shouldering the greatest reduction responsibility, totaling 38.14 MtCO2. In conclusion, this study provides a dynamically optimized carbon budget assessment tool for residential buildings, offering valuable insights for government policy-making and playing a key role in facilitating the low-carbon transition of China's building sector during the pre-2030 planning period, ultimately contributing to the goal of achieving net-zero emissions in the building sector by mid-century.

physics.soc-ph

Usage History of Scientific Literature: Nature Metrics and Metrics of Nature Publications

In this study, we analyze the dynamic usage history of Nature publications over time using Nature metrics data. We conduct analysis from two perspectives. On the one hand, we examine how long it takes before the articles' downloads reach 50%/80% of the total; on the other hand, we compare the percentage of total downloads in 7 days, 30 days, and 100 days after publication. In general, papers are downloaded most frequently within a short time period right after their publication. And we find that compared with Non-Open Access papers, readers' attention on Open Access publications are more enduring. Based on the usage data of a newly published paper, regression analysis could predict the future expected total usage counts.

cs.DL

Exploring Scientists' Working Timetable: A Global Survey

In our previous study (Wang et al., 2012), we analyzed scientists' working timetable of 3 countries, using realtime downloading data of scientific literatures. In this paper, we make a through analysis about global scientists' working habits. Top 30 countries/territories from Europe, Asia, Australia, North America, Latin America and Africa are selected as representatives and analyzed in detail. Regional differences for scientists' working habits exists in different countries. Besides different working cultures, social factors could affect scientists' research activities and working patterns. Nevertheless, a common conclusion is that scientists today are often working overtime. Although scientists may feel engaged and fulfilled about their hard working, working too much still warns us to reconsider the work - life balance.

cs.DL

Exploring scientists' working timetable: Do scientists often work overtime?

A novel method is proposed to monitor and record scientists' working timetable. We record the downloads information of scientific papers real-timely from Springer round the clock, and try to explore scientists' working habits. As our observation demonstrates, many scientists are still engaged in their research after working hours every day. Many of them work far into the night, even till next morning. In addition, research work also intrudes into their weekends. Different working time patterns are revealed. In the US, overnight work is more prevalent among scientists, while Chinese scientists mostly have busy weekends with their scientific research.

cs.DL